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High-speed Particle Image Velocimetry Near Surfaces
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Published on: June 24, 2013

Robustifying vector median filter.

Samuel Morillas1, Valentín Gregori

  • 1Instituto Universitario de Matemática Pura y Aplicada, Universidad Politécnica de Valencia, Camino de Vera s/n 46022 Valencia, Spain. vgregori@mat.upv.es

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

Two new methods for impulse noise reduction in colour images outperform the standard vector median filter. These techniques utilize componentwise analysis and colour channel correlation for robust noise removal without artifacts.

Keywords:
color image filterrobust filtervector median filter

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Area of Science:

  • Image Processing
  • Computer Vision
  • Digital Signal Processing

Background:

  • Impulse noise significantly degrades the quality of colour images.
  • Existing filters like the vector median filter (VMF) may not be optimal for colour image noise reduction.
  • Colour artifacts can be introduced by standard noise reduction techniques.

Purpose of the Study:

  • To introduce two novel methods for impulse noise reduction in colour images.
  • To demonstrate superior noise reduction capability compared to the vector median filter.
  • To develop a robust colour image filter that avoids introducing colour artifacts.

Main Methods:

  • Determining the vector median within a filtering window.
  • Utilizing complementary information from componentwise analysis for robust output construction.
  • Incorporating correlation among colour channels during the filtering process.

Main Results:

  • The proposed methods significantly outperform the vector median filter in noise reduction capability.
  • Filtered images exhibit fewer noisy pixels compared to those processed by the VMF.
  • Objective measures confirm the effectiveness and improvement achieved by the new methods.

Conclusions:

  • The developed methods offer enhanced impulse noise reduction for colour images.
  • The techniques effectively mitigate noise while preserving image integrity and avoiding colour artifacts.
  • The proposed filters provide a more robust solution for colour image denoising.